Factors Influencing Users’ Satisfaction Towards Image Use in Social Media: A PLS-SEM Analysis

Dublin Core

Title

Factors Influencing Users’ Satisfaction Towards Image Use in Social Media: A PLS-SEM Analysis

Subject

Uses and Gratification Theory
Satisfaction
Image use
social media

Description

Images for social media are an essential component of any blog or social media post. As we now live in the age of the 'camera in everyone's pocket', a new dynamic era of image creation and content has emerged. However, people use media due to specific motives or gratifications that lead to their satisfaction of social media use. This research study utilized uses and gratification theory (UGT), a sociology theory related to the motives of people using the media. The UGT factors include enjoyment, entertainment, social influence, social interaction, and information sharing. There were 441 data that were collected and analysed. IBM SPSS Statistics 20 and Smart PLS 3.3.3 were used for the data analysis. Result showed that information sharing was the most influencing factors on users’ satisfaction to use image in social media. Therefore, the factors identified in these studies could be used as a guideline and references in future study related to social media awareness and implications.

Creator

Che Ilias, Irma Syarlina
Ramli, Suzaimah
Wook, Muslihah
Hasbullah, Nor Asiakin

Source

International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 15 (2022); pp. 172-186
1865-7923

Publisher

International Association of Online Engineering (IAOE), Vienna, Austria

Date

2022-08-17

Rights

Copyright (c) 2022 Irma Syarlina Che Ilias, Suzaimah Ramli, Muslihah Wook, Nor Asiakin Hasbullah
https://creativecommons.org/licenses/by/4.0

Relation

Format

application/pdf

Language

eng

Type

info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article

Identifier

Citation

Che Ilias, Irma Syarlina et al., Factors Influencing Users’ Satisfaction Towards Image Use in Social Media: A PLS-SEM Analysis, International Association of Online Engineering (IAOE), Vienna, Austria, 2022, accessed November 5, 2024, https://igi.indrastra.com/items/show/2349

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